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Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016)
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- Abstract
- Query suggestion is generally an integrated part of web search engines. In this study, we first redefine and reduce the query suggestion problem as "comparison of queries". We then propose a general modular framework for query suggestion algorithm development. We also develop new query suggestion algorithms which are used in our proposed framework, exploiting query, session and user features. As a case study, we use query logs of a real educational search engine that targets K-12 students in Turkey. We also exploit educational features (course, grade) in our query suggestion algorithms. We test our framework and algorithms over a set of queries by an experiment and demonstrate a 66-90% statistically significant increase in relevance of query suggestions compared to a baseline method.
- Language
- e
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
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Bhansali, D.; Desai, H.; Deulkar, K.: ¬A study of different ranking approaches for semantic search (2015)
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Poynder, R.: Web research engines? (1996)
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- Semantisches Umfeld in Indexierung u. Retrieval
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Schwartz, C.: Web search engines (1998)
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Scholer, F.; Williams, H.E.; Turpin, A.: Query association surrogates for Web search (2004)
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Pahlevi, S.M.; Kitagawa, H.: Conveying taxonomy context for topic-focused Web search (2005)
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Jindal, V.; Bawa, S.; Batra, S.: ¬A review of ranking approaches for semantic search on Web (2014)
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Roy, R.S.; Agarwal, S.; Ganguly, N.; Choudhury, M.: Syntactic complexity of Web search queries through the lenses of language models, networks and users (2016)
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